• DocumentCode
    3106648
  • Title

    Classification Tree Embedded XML Document Structure Design for Enhanced Web Document Utilization

  • Author

    Choi, Doug Won ; Shin, Jin Kyu

  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    542
  • Lastpage
    547
  • Abstract
    XML document usage is currently in a limbo state probably because of too much freedom endowed to the XML tag definition and schema organization. An effort to restrict the unbounded freedom in XML document structure design may help improve the utilization of XML documents on the Web environment. Abstraction of common document characteristics from diverse user groups in the same application domain can help develop commonly acceptable XML document structures. We can achieve optimality in document structure by abstracting the document structure and implanting optimum classification tree in XML schema. The implantation is enabled if we apply the ID3-based classification tree generation algorithm. In generating the classification tree of a case example, the "situation variable and decision variable\´ structure was proposed to abstract the business process exception handling document structure. The classification tree was then used to construct XML-schema which enables authoring and transmission of web documents that contain business information. Since the induced classification tree is optimized by the “information gain” criterion, the classification tree based XML-schema design also helps utilize XML document information on the semantic web.
  • Keywords
    Classification algorithms; Classification tree analysis; Conference management; Data mining; Design optimization; Document handling; Information technology; Semantic Web; Tree data structures; XML; Document structure abstractionXML schema designClassification treeC5.0ID3;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Language Processing and Web Information Technology, 2007. ALPIT 2007. Sixth International Conference on
  • Conference_Location
    Luoyang, Henan, China
  • Print_ISBN
    978-0-7695-2930-1
  • Type

    conf

  • DOI
    10.1109/ALPIT.2007.92
  • Filename
    4460698